Your browser doesn't support javascript.
loading
Systematic immune cell dysregulation and molecular subtypes revealed by single-cell RNA-seq of subjects with type 1 diabetes.
Honardoost, Mohammad Amin; Adinatha, Andreas; Schmidt, Florian; Ranjan, Bobby; Ghaeidamini, Maryam; Arul Rayan, Nirmala; Gek Liang Lim, Michelle; Joanito, Ignasius; Xiao Xuan Lin, Quy; Rajagopalan, Deepa; Qi Mok, Shi; Hwang, You Yi; Larbi, Anis; Khor, Chiea Chuen; Foo, Roger; Boehm, Bernhard Otto; Prabhakar, Shyam.
Affiliation
  • Honardoost MA; Laboratory of Systems Biology and Data Analytics, Genome Institute of Singapore (GIS), A*STAR (Agency for Science, Technology and Research), Singapore, 138672, Singapore.
  • Adinatha A; Cardiovascular Diseases Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117599, Singapore.
  • Schmidt F; School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
  • Ranjan B; Laboratory of Systems Biology and Data Analytics, Genome Institute of Singapore (GIS), A*STAR (Agency for Science, Technology and Research), Singapore, 138672, Singapore.
  • Ghaeidamini M; Laboratory of Systems Biology and Data Analytics, Genome Institute of Singapore (GIS), A*STAR (Agency for Science, Technology and Research), Singapore, 138672, Singapore.
  • Arul Rayan N; Laboratory of Systems Biology and Data Analytics, Genome Institute of Singapore (GIS), A*STAR (Agency for Science, Technology and Research), Singapore, 138672, Singapore.
  • Gek Liang Lim M; Laboratory of Systems Biology and Data Analytics, Genome Institute of Singapore (GIS), A*STAR (Agency for Science, Technology and Research), Singapore, 138672, Singapore.
  • Joanito I; Laboratory of Systems Biology and Data Analytics, Genome Institute of Singapore (GIS), A*STAR (Agency for Science, Technology and Research), Singapore, 138672, Singapore.
  • Xiao Xuan Lin Q; Laboratory of Systems Biology and Data Analytics, Genome Institute of Singapore (GIS), A*STAR (Agency for Science, Technology and Research), Singapore, 138672, Singapore.
  • Rajagopalan D; Laboratory of Systems Biology and Data Analytics, Genome Institute of Singapore (GIS), A*STAR (Agency for Science, Technology and Research), Singapore, 138672, Singapore.
  • Qi Mok S; Laboratory of Systems Biology and Data Analytics, Genome Institute of Singapore (GIS), A*STAR (Agency for Science, Technology and Research), Singapore, 138672, Singapore.
  • Hwang YY; Laboratory of Systems Biology and Data Analytics, Genome Institute of Singapore (GIS), A*STAR (Agency for Science, Technology and Research), Singapore, 138672, Singapore.
  • Larbi A; Integrated genomics platform, Genome Institute of Singapore (GIS), A*STAR (Agency for Science, Technology and Research), Singapore, 138672, Singapore.
  • Khor CC; Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research), Singapore, 138648, Singapore.
  • Foo R; Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research), Singapore, 138648, Singapore.
  • Boehm BO; Integrated genomics platform, Genome Institute of Singapore (GIS), A*STAR (Agency for Science, Technology and Research), Singapore, 138672, Singapore.
  • Prabhakar S; Cardiovascular Diseases Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117599, Singapore.
Genome Med ; 16(1): 45, 2024 Mar 27.
Article in En | MEDLINE | ID: mdl-38539228
ABSTRACT

BACKGROUND:

Type 1 diabetes mellitus (T1DM) is a prototypic endocrine autoimmune disease resulting from an immune-mediated destruction of pancreatic insulin-secreting ß  cells. A comprehensive immune cell phenotype evaluation in T1DM has not been performed thus far at the single-cell level.

METHODS:

In this cross-sectional analysis, we generated a single-cell transcriptomic dataset of peripheral blood mononuclear cells (PBMCs) from 46 manifest T1DM (stage 3) cases and 31 matched controls.

RESULTS:

We surprisingly detected profound alterations in circulatory immune cells (1784 dysregulated genes in 13 immune cell types), far exceeding the count in the comparator systemic autoimmune disease SLE. Genes upregulated in T1DM were involved in WNT signaling, interferon signaling and migration of T/NK cells, antigen presentation by B cells, and monocyte activation. A significant fraction of these differentially expressed genes were also altered in T1DM pancreatic islets. We used the single-cell data to construct a T1DM metagene z-score (TMZ score) that distinguished cases and controls and classified patients into molecular subtypes. This score correlated with known prognostic immune markers of T1DM, as well as with drug response in clinical trials.

CONCLUSIONS:

Our study reveals a surprisingly strong systemic dimension at the level of immune cell network in T1DM, defines disease-relevant molecular subtypes, and has the potential to guide non-invasive test development and patient stratification.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Autoimmune Diseases / Diabetes Mellitus, Type 1 Limits: Humans Language: En Journal: Genome Med / Genome med / Genome medicine Year: 2024 Document type: Article Affiliation country: Singapur Country of publication: Reino Unido

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Autoimmune Diseases / Diabetes Mellitus, Type 1 Limits: Humans Language: En Journal: Genome Med / Genome med / Genome medicine Year: 2024 Document type: Article Affiliation country: Singapur Country of publication: Reino Unido